{"id":"W6955156594","doi":"10.57907/mirri/kmgepx","title":"MIRRI0127917","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Identification (biology); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005298771,0.0004653288,0.0006581405,0.00043199,0.0001457329,0.00004113041,0.0003188763,0.0002892046,0.9756122],"category_scores_gemma":[0.001430818,0.0004538045,0.0003507478,0.0003446385,0.0000564773,0.00006505073,0.000316166,0.001198379,0.1895544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007130766,"about_ca_system_score_gemma":0.0009450134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116978,"about_ca_topic_score_gemma":0.00004796614,"domain_scores_codex":[0.9969486,0.000163939,0.0005695406,0.000926159,0.0008826738,0.0005090725],"domain_scores_gemma":[0.9970849,0.0001650943,0.0003491902,0.001966233,0.0001099112,0.0003247347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002253942,0.0004611731,0.0001218767,0.0003599607,0.000172784,0.0004143423,0.00003401839,0.00001455337,0.0003524152,0.000003218284,0.9960635,0.001776729],"study_design_scores_gemma":[0.001300961,0.0001924683,0.0003439141,0.00008608289,0.0005168702,0.0003563868,0.0000658717,0.000005391806,0.0001800212,0.00004156972,0.9965287,0.0003817851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005010635,0.001013493,0.000009639318,0.01191141,0.001948189,0.0007905748,0.9835995,0.0002024465,0.00002369629],"genre_scores_gemma":[0.00003134292,0.0005738057,0.0001643117,0.004639103,0.001800314,0.00008699013,0.9834366,0.00006888343,0.009198628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7860577,"threshold_uncertainty_score":0.9997914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747992880743772,"score_gpt":0.3322065524780907,"score_spread":0.304726623670653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}